GCP Data Engineer

Vodafone Group Plc; Pune District; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Vodafone Group Plc in Pune (India) seeks an experienced GCP Data Engineer to design, build and operationalise cloud-based data processing solutions within the Software Engineering – BIBDA function.

Based in Pune, this role focuses on translating high-level architectural designs into robust low-level implementations, developing scalable data pipelines on Google Cloud Platform, and acting as a subject matter expert within the team while contributing to engineering excellence across projects.

Qualifications

• 6+ years of overall industry experience, incl. 2–4 years on GCP, DBT and Data Vault 2.0.
• Strong SQL and data modelling knowledge; proven data warehouse design experience.
• Google Cloud Certified Professional Data Engineer is an advantage.

Responsibilities

• Design and implement low-level designs (LLD) aligned to high-level designs.
• Build, deploy, and operationalise data processing systems on GCP.
• Develop and optimise data pipelines using BigQuery and Airflow-like tooling.
• Mentor junior team members and contribute to engineering excellence.
• Lead small projects end-to-end when required.

Skills

SQL proficiency

Data modelling

GCP experience

DBT experience

Data Vault 2.0

Leadership / SME responsibilities

Education

Bachelor's or equivalent in Computer Science or related field

Tools

BigQuery

Dataflow

Dataproc

Looker

DBT

Jinja templating

Job description

About this Role

We are seeking an experienced GCP Data Engineer to design, build, and operationalise cloud-based data processing solutions within the Software Engineering – BIBDA function. Based in Pune, this role focuses on translating high-level architectural designs into robust low-level implementations, developing scalable data pipelines on Google Cloud Platform, and acting as a subject matter expert within the team while contributing to engineering excellence across projects.

What you’ll do

• Prepare low-level designs (LLD) aligned to high-level designs (HLD) defined by the project architect.
• Build, deploy, and operationalise data processing systems in line with approved designs.
• Develop and optimise data pipelines using GCP services such as BigQuery and Airflow.
• Apply standard and innovative cloud data pipeline patterns, working effectively within product constraints.
• Act as a subject matter expert in GCP data engineering, supporting and mentoring junior team members.
• Demonstrate continuous learning and apply new skills and technologies in day-to-day delivery.
• Manage small teams or projects end-to-end, from build through to closure, when required.
• Contribute to organisational improvements through process adoption, resource optimisation, and tooling enhancements.
• Actively contribute technical expertise to internal guilds and communities of practice.

Who you are

• Strong proficiency in SQL and data modelling concepts.
• Hands‑on experience with the GCP ecosystem, including BigQuery, Dataflow, Dataproc, Looker, and related services.
• Practical experience with DBT, including model development, Jinja templating, and lineage generation.
• Solid understanding and implementation experience of Data Vault 2.0 concepts on cloud data warehouses.
• Around 6+ years of overall industry experience, with at least 2–4 years working on GCP, DBT, and Data Vault 2.0.
• Google Cloud Certified Professional Data Engineer certification is an advantage.
• Holds a recognised qualification such as B.E./B.Tech, BCA/MCA, or BSc/MSc in Computer Science or a related discipline.
• Demonstrates strong collaboration, problem‑solving, and knowledge‑sharing behaviours.

What's in it for you

• Opportunity to work on enterprise‑scale data platforms within a global organisation.
• Exposure to modern cloud data engineering practices and tools on Google Cloud Platform.
• A collaborative environment that values knowledge sharing, continuous improvement, and quality delivery.
• The chance to contribute beyond projects through guilds, process improvements, and tooling initiatives.

What skills you will learn

• Advanced application of GCP services for large-scale data engineering solutions.
• Practical optimisation techniques for cloud-based data pipelines and workflows.
• Deeper expertise in DBT, Data Vault 2.0, and modern data architecture patterns.
• Leadership and mentoring skills through SME responsibilities and small project ownership.

VOIS Equal Opportunity Employer Commitment

Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio‑economic background.